A reinforcement learning with switching controllers for a continuous action space. - Masato Nagayoshi; Hajime Murao; Hisashi Tamaki (Artif. Life Robotics, 2010)

Adaptive co-construction of state and action spaces in reinforcement learning. - Masato Nagayoshi; Hajime Murao; Hisashi Tamaki (Artif. Life Robotics, 2011)

Developing reinforcement learning for adaptive co-construction of continuous high-dimensional state and action spaces. - Masato Nagayoshi; Hajime Murao; Hisashi Tamaki (Artif. Life Robotics, 2012)

Reinforcement learning for dynamic environment: a classification of dynamic environments and a detection method of environmental changes. - Masato Nagayoshi; Hajime Murao; Hisashi Tamaki (Artif. Life Robotics, 2013)

An Entropy-Guided Adaptive Co-construction Method of State and Action Spaces in Reinforcement Learning. - Masato Nagayoshi; Hajime Murao; Hisashi Tamaki (ICONIP (1), 2014)

Reinforcement Learning Approach for Adaptive Negotiation-Rules Acquisition in AGV Transportation Systems. - Masato Nagayoshi; Simon J. H. Elderton; Kazutoshi Sakakibara; Hisashi Tamaki (J. Adv. Comput. Intell. Intell. Informatics, 2017)

A Promoting Method of Role Differentiation using a Learning Rate that has a Periodically Negative Value in Multi-agent Reinforcement Learning. - Masato Nagayoshi; Simon J. H. Elderton; Hisashi Tamaki (J. Robotics Netw. Artif. Life, 2020)

A Multi-agent Reinforcement Learning Method for Role Differentiation Using State Space Filters with Fluctuation Parameters. - Masato Nagayoshi; Simon J. H. Elderton; Hisashi Tamaki (J. Robotics Netw. Artif. Life, 2021)

An Approach of Exchanging Work Shifts Using Reinforcement Learning on a Constructive Nurse Scheduling System. - Masato Nagayoshi; Hisashi Tamaki (J. Robotics Netw. Artif. Life, 2022)